RoadNex v2.2 Scooter passing by in City Traffic

RoadNex v2.2 Road Detection – Scooter passing by in City Traffic

RoadNex v2.2 Road Detection – Scooter passing by in City Traffic
RoadNex detecting the lane on the road with or without markings.
Here, see the red line that reduces with scooters and cars; and the red surface highlighted which stops with scooters and cars, telling us it’s not road anymore, so detecting obstacles in negative.
The green Arrow shows the possible direction to follow.

Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.

RoadNex v2.2 Road Detection for ADAS : Green Desert Track

NEXYAD RoadNex v2.2 Road Detection for ADAS : Green Desert Track
RoadNex detects the lane and the road surface and does not depend on the level of equipment of road infrastructure. Example here, on a dirt track in the middle of nowhere…



SafetyNex & EcoGyzer : the Sportive-Safe Driver

SafetyNex by NEXYAD and EcoGyzer by NOMADIC SOLUTIONS together to estimate the Driver Behaviour Signature.
We ask an experimented driver to drive the same path four times with a different behaviour.
Here we show the Sportive-Safe Driver :

The Sportive-Safe Driver is not Eco, but he is safe most of the time. Despite, he accelerates strongly, he slows down when he arrives to intersections and pedestrian pathways. He has only four points in the red area of the signature mapping to compare with the Quiet-Dangerous Driver seen in an earlier news

SafetyNex World Premiere Road Safety App

NEXYAD Automotive & Transportation Newsletter #6, the 13th of november 2015



Summary :

– SafetyNex & EcoGyzer : the Driver Behaviour Signature

– Nexyad ADAS Validation Database still in progress

– ProgressRoadNex v2.2 Robustness demonstration

– Nexyad in Media

SafetyNex & EcoGyzer : the Driver Behaviour Signature

SafetyNex is a Nexyad Module for ADAS that estimates the risk (or safety) in driving 100% correlated with accidentology. It is unique and disruptive in the whole world of Road Safety.
Recently, EcoGyzer a tool by the french company Nomadic Solutions, has been integrated to SafetyNex to estimate the Eco driving.
Now we are proud to announce that SafetyNex & EcoGyzer as a world premiere App estimating the Driver Behaviour Signature. To figure the Driver Behavour Signature, we imagined a special mapping as you’ll see on the demo films.
Every second in driving, one point is plotted on the mapping. The more right a point is, the more Eco is the driving; the more up, the more safe it is. At the end of the path, there is a cloud of points called the Driver Behaviour Signature.
In the following demo films, we show four different driving behaviour signatures for the same path :


The Good Driver



The Bad Driver



The Quiet-Dangerous Driver



The Sportive-Safe Driver


Comparison of the four Driver Behaviour Signatures



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Nexyad ADAS Validation Database still in Progress

NEXYAD has been starting the development of a data base for artificial vision-based ADAS test and validation.

This data base will be relevant and unique because it is fully decribed in two ways :
. reality : position of road and obstacles
. driving situation (i.e. curve in a foggy weather with pedestrian crossing, …) using the methology AGENDA.

To read more :
– « Methodology for ADAS validation: Potential Contribution of other Scientific Fields which have already answered the Same Questions »,
G. Yahiaoui, P. Da Silva Dias, proceedings of the 3rd CESA Automotive Electronics Congress May 2014 Paris, Lecture Notes in Mobility,
ENERGY CONSUMPTION AND AUTONOMOUS DRIVING, Jochen Langheim Ed, Springer, pp 133-138.
– « Validation of Advanced Driving Assistance Systems », G. Yahiaoui, N. du Lac, SafetyWeek congress, Aschaffenburg, May 2015.

Business details :
A part of this data base will be soon available for free on the internet, to the worldwide ADAS and Autonomous
vehicle community (labos and firms).
If you wish to receive the link as soon as it is available, click HERE and fill the registration form.
(Free access to the NEXYAD Artificial Vision-based ADAS Validation Database)
The complete data base should be available soon through an annual membership.
For more information : contact NEXYAD Olivier BENEL +33 139 04 13 60

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RoadNex v2.2 Robustness

On a new release v2.2 of RoadNex, we’ve added an arrow that shows the direction to be followed by the vehicle according to our road detection always defined by the edges of the rollable track and the surface of the rollable track. New tests were performed on videos of different types of roads, including tracks in the desert or lit roads by car lights at night.
These examples demonstrate the robustness of our module software that is more and more a reel competitor of lanes Detection System developed by Mobileye.

See some demos below or click on images.




To see all the demo films about RoadNex, go to the Nexyad Channel in YouTube :
https://www.youtube.com/channel/UC9eYKvsuJMepuc42nM16f1A

RoadNex 10 different roads

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NEXYAD Automotive & Transportation in Media

Article CCFA
https://nexyad.net/Automotive-Transportation/wp-content/uploads/2015/10/Article-CCFA.pngArticle Cl'eo
To read more :
https://nexyad.net/Automotive-Transportation/wp-content/uploads/2015/10/Article-Cleo.png

Article ACBB
To read more :

Le smartphone pour plus de sécurité au volant ?



RoadNex v2.2 Road Detection for ADAS : Case of Red Road

RoadNex v2.2 Road Detection for ADAS : Case of Red Road
RoadNex detecting the lane and the surface of a road in red color.

Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.

SafetyNex & EcoGyzer : the Quiet-Dangerous Driver

SafetyNex by NEXYAD and EcoGyzer by NOMADIC SOLUTIONS together to estimate the Driver Behaviour Signature.
We ask an experimented driver to drive the same path four times with a different behaviour.
Here we show the Quiet-Dangerous Driver :

The Quiet-Dangerous Driver is always Eco, he doesn’t accelerate too hard and he doesn’t brake strongly, but he passes through intersections and pedestrian pathways without slowing down… He is potentialy Dangerous.

RoadNex v2.2 Road Detection for ADAS on Road at Night

Nexyad RoadNex v2.2 Road Detection for ADAS on Road at Night
RoadNex detecting the lane and the surface of the road at night when the light are on.

Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.

SafetyNex & EcoGyzer : the Bad Driver

SafetyNex by NEXYAD and EcoGyzer by NOMADIC SOLUTIONS together to estimate the Driver Behaviour Signature.
We ask an experimented driver to drive the same path four times with a different behaviour.
Here we show the Bad Driver :



RoadNex v2.2 Road with markings on both sides

RoadNex v2.2 Road with markings on both sides.
RoadNex detecting the lane on road and detecting the surface of the road with strong sun light on front of the car and the camera…

Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.

Le CCFA parle de Nexyad

Le Comité des Constructeurs Français d’Automobiles CCFA a repris LES ECHOS
à la Une de son site internet :

CCFA
“Le smartphone peut-il améliorer la sécurité au volant ?”

Lire l’article ici

RoadNex v2.2 Desert Track

RoadNex v2.2 Desert track
RoadNex detecting the lane on the desert track : sand road, no markings, stones, etc…
Contrast of colors is very poor, detection is still fine.

Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.